Genomics Informatics Specialist

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As part of the Government’s reset of the science, innovation and technology system, on 1 July 2025, AgResearch, Manaaki Whenua – Landcare Research, Plant & Food Research, and Scion merged to form the New Zealand Institute for Bioeconomy Science, trading as the Bioeconomy Science Institute.

This merger has created a world-class research organisation of globally significant size and scale, with over 2,000 employees — including scientists, researchers, and support staff. It brings together fundamental science knowledge and expertise in the natural resources that underpin the bioeconomy and the native estate, alongside applied research capabilities in manufacturing, agritech and biotech, and the food and fibre sectors.

Our people drive innovation and commercial outcomes in the bioeconomy, using research and technology to support enduring economic growth and resilience, a healthy environment, and positive social outcomes for Aotearoa New Zealand.

This position sits under the current AgResearch group of the Bioeconomy Science Institute.

This is a permanent position within the Genomnz™ team who are based at the Invermay campus in Mosgiel. Genomnz™ is a leading commercial genotyping laboratory, and we’re looking for a Genomics Informatics Specialist to help deliver high-quality genomic solutions to our clients.

This role will involve working closely with the Animal Genomics team to support our mutual goal of delivering value through DNA-based services to animal breeders and researchers in the agricultural and aquaculture industries. We are looking for a problem solver who can utilise databases and computational pipelines at all stages of genetic data analysis, from the laboratory information management system to DNA assignment of pedigrees, generation of genomic breeding values and mating allocations, reporting and commercial service delivery under tight timeframes and rigorous quality standards.

• Tertiary qualification with at least 5 years of experience in computational genetics or a related field of study
• Proficient in R and at least one of the following Python, SQL, Bash, Git, Linux
• Knowledge of relational databases such as MS Access and SQL Server
• Experience working in a Linux / Unix environment
• Knowledge of genetic data analysis and understanding relevant biological concepts, including large genomic analyses

You will be part of a passionate and supportive team, working in an environment where your skills make a direct impact. We offer :

Ifthis sounds like you, and you are searching for a rewarding role with real purpose,we’dlove to hear from you.Apply today on the link below with a cover letter detailing why you feel you would be suitable for this position.

To view the full position description, please clickhere

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